sapitinib (AZD8931)

LR group had lower TIDE scores and lower IC50 values (Alpelisib, Ibrutinib, Sapitinib, and Savolitinib). Patients in LR group had potential advantages in survival, immune response, and drug sensitivity. In summary, the results offered new insights into prognosis prediction, immunotherapy, and personalized treatment of LUSC.

Drug sensitivity analysis revealed differences in the IC50 values of OSI-027, PLX-4720, UMI-77, and Sapitinib between the high-risk and low-risk groups. Enrichment analysis revealed that these prognostic ARGs were primarily enriched in pathways and biological processes related to tumorigenesis. The risk model of ARGs can effectively predict READ prognosis and provide potential therapeutic targets.

Finally, we found that hyper-immunogenicity may be sensitive to immunotherapy and certain drugs (AZD5991, Ibrutinib, Osimertinib, AGI-5198, Savolitinib, Sapitinib, AZ960, AZD3759 and Ruxolitinib), while PCI-34051 and Vorinostat showed sensitivity in patients with hypo-immunogenicity. Our results demonstrate that ICD plays an important role in UCEC progression, suggesting that ICD-related markers could serve as potential targets for prognosis and treatment.

Additionally, individuals at high risk showed higher sensitivity to erlotinib, acetalax, gefitinib, lapatinib, sapitinib, and afatinib. Nevertheless, this study is retrospective and relies on public databases, with a limited sample size within the datasets. In the future, it is essential to conduct more extensive validation of the prognostic value and efficacy in real ESCC cohorts.

The OncoPredict algorithm and CCK‑8 assays revealed that TTN mutations are associated with altered drug sensitivity, particularly to GSK1904529A, nilotinib, 5‑fluorouracil (5‑FU) and sapitinib. The findings indicated that TTN mutations increase protein stability and lower intracellular ferrous ion levels, thereby suppressing ferroptosis and contributing to resistance to 5‑FU in hepatoma cells. These results suggest that TTN mutations are associated with poor prognosis in liver cancer and could serve as a predictive biomarker for liver cancer progression, prognosis and drug resistance.

P2, N=1460, Active, not recruiting, UNICANCER | Trial completion date: Dec 2024 --> Dec 2025

TFE3-RCC ARID2 KO cells demonstrated heightened sensitivity to the ERBB3 inhibitor AZD8931 compared to their wild-type counterparts, exhibiting significantly reduced migration and proliferation rates. These findings suggest that the PRCC-TFE3-ARID2-ERBB3 axis plays a critical role in TFE3-RCC pathogenesis and highlights the potential of targeting ERBB3 in ARID2-deficient TFE3-RCC as a therapeutic strategy. This study provides new insights into the molecular mechanisms of TFE3-RCC and suggests avenues for precision treatment of this aggressive cancer.

Our candidate approach identifies FOXN3-AS1 as a prognostic indicator of survival in AML with a potential immune-related role. The preliminary observations we made on FOXN3-AS1/DNMT1 crosstalk warrant more in-depth invested immunotherapeutic approaches in AML.

OAC may be subdivided into three immune-related subgroups which undergo modulation in response to neoadjuvant therapy with marked suppression of the immune microenvironment in HER2-positive/immune-high tumours.

Patients with higher CuScores had lower TMB and were more sensitive to Sapitinib and LCL161, while those with lower CuScores might respond better to anti-PD1 therapy. The identified copper metabolism-related gene signature has the potential to predict prognosis and guide clinical treatment for BC. Among these genes, MMP13 may act as a malignant factor in BC.

Additionally, the high-risk group exhibited higher sensitivity to Afatinib, Fulvestrant, Gefitinib, Osimertinib, Sapitinib, and Taselisib. In conclusion, our study highlighted the potential utility of the constructed DRLPS in the prognosis prediction of HCC patients, which demonstrated promising clinical application value.

L-JIMT-1 cells were resistant to all five tyrosine kinase inhibitors tested in vitro (afatinib, erlotinib, lapatinib, sapitinib, and tucatinib). In a mouse model, all three ADCs inhibited the growth of L-JIMT-1 lung metastases compared to a vehicle, but DV and T-DXd more strongly than T-DM1, and DV treatment led to the smallest tumor burden. The L-JIMT breast cancer lung metastasis model developed may be useful in the evaluation of anti-cancer agents for multiresistant HER2-positive advanced breast cancer.